{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>growth_from_2000_to_2013</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>population</th>\n",
       "      <th>rank</th>\n",
       "      <th>state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>New York</td>\n",
       "      <td>4.8%</td>\n",
       "      <td>40.712784</td>\n",
       "      <td>-74.005941</td>\n",
       "      <td>8405837</td>\n",
       "      <td>1</td>\n",
       "      <td>New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>4.8%</td>\n",
       "      <td>34.052234</td>\n",
       "      <td>-118.243685</td>\n",
       "      <td>3884307</td>\n",
       "      <td>2</td>\n",
       "      <td>California</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chicago</td>\n",
       "      <td>-6.1%</td>\n",
       "      <td>41.878114</td>\n",
       "      <td>-87.629798</td>\n",
       "      <td>2718782</td>\n",
       "      <td>3</td>\n",
       "      <td>Illinois</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Houston</td>\n",
       "      <td>11.0%</td>\n",
       "      <td>29.760427</td>\n",
       "      <td>-95.369803</td>\n",
       "      <td>2195914</td>\n",
       "      <td>4</td>\n",
       "      <td>Texas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Philadelphia</td>\n",
       "      <td>2.6%</td>\n",
       "      <td>39.952584</td>\n",
       "      <td>-75.165222</td>\n",
       "      <td>1553165</td>\n",
       "      <td>5</td>\n",
       "      <td>Pennsylvania</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           city growth_from_2000_to_2013   latitude   longitude  population  \\\n",
       "0      New York                     4.8%  40.712784  -74.005941     8405837   \n",
       "1   Los Angeles                     4.8%  34.052234 -118.243685     3884307   \n",
       "2       Chicago                    -6.1%  41.878114  -87.629798     2718782   \n",
       "3       Houston                    11.0%  29.760427  -95.369803     2195914   \n",
       "4  Philadelphia                     2.6%  39.952584  -75.165222     1553165   \n",
       "\n",
       "   rank         state  \n",
       "0     1      New York  \n",
       "1     2    California  \n",
       "2     3      Illinois  \n",
       "3     4         Texas  \n",
       "4     5  Pennsylvania  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the city data\n",
    "\n",
    "filename = '../data/cities.json'\n",
    "\n",
    "df = pd.read_json(filename)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Beyond 1\n",
    "\n",
    "Create a histogram of the growth rates among cities in both Texas and Michigan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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frueeey7cMwIAAIQspNgZOXKk3n//fW3atEkHDhxQU1OT8vLyNG/evKALlgEAAJwWUuxIUmRkpO68885wzgIAABB2IcXOM888c979d911V0jDAAAAhFtIsbNo0aKg+21tbTp16pSio6M1aNAgYgcAAPQaIb0b6x//+EfQrampSZWVlZo8eTIXKAMAgF4l5L+N9WVjxozR8uXLO531AQAAcFLYYkf64qLl6urqcB4SAACgS0K6Zue///u/g+4bY1RTU6Pf/va3uv7668MyGAAAQDiEFDu33npr0H2Xy6URI0ZoypQpevTRR8MxFwAAQFiEFDsdHR3hngMAAKBbhPWaHQAAgN4mpDM7BQUFF/zYVatWhfIpAAAAwiKk2Nm3b5/27duntrY2jR07VpL0ySefaMCAAbr66qsDj3O5XOGZEgAAIEQhxc4tt9yiuLg4Pf300xo6dKikL37R4IIFC3TDDTfooYceCuuQAAAAoQrpmp1HH31URUVFgdCRpKFDh+qXv/wl78YCAAC9Skix4/P59Pnnn3fa/vnnn6uxsbHLQwEAAIRLSLFz2223acGCBXrxxRd17NgxHTt2TH/84x+Vl5en2bNnh3tGAACAkIV0zc66deu0ZMkS3XHHHWpra/viQJGRysvL08qVK8M6IAAAQFeEFDuDBg3SmjVrtHLlSh0+fFiSdOmll2rw4MFhHQ4AAKCruvRLBWtqalRTU6MxY8Zo8ODBMsaEay4AAICwCCl2Tpw4oalTp+ryyy/XzTffrJqaGklSXl4ebzsHAAC9Skixs3jxYkVFRamqqkqDBg0KbJ8zZ462bdsWtuEAAAC6KqRrdv70pz/ptdde08iRI4O2jxkzRp999llYBgMAAAiHkM7sNDc3B53ROePkyZOKiYnp8lAAAADhElLs3HDDDXrmmWcC910ulzo6OrRixQrddNNNYRsOAACgq0L6MdaKFSs0depU7d27V62trfrBD36gjz76SCdPntRbb70V7hkBAABCFtKZnQkTJuiTTz7R5MmTNWvWLDU3N2v27Nnat2+fLr300nDPCAAAELKLPrPT1tam6dOna926dfrxj3/cHTMBAACEzUWf2YmKitKBAwe6YxYAAICwC+nHWHfeeafWr18f7lkAAADCLqQLlE+fPq2nnnpKr7/+ujIzMzv9TaxVq1aFZTgAAICuuqjY+etf/6rRo0frww8/1NVXXy1J+uSTT4Ie43K5wjcdAABAF11U7IwZM0Y1NTXauXOnpC/+PMSTTz6ppKSkbhkOAACgqy7qmp0v/1XzrVu3qrm5OawDAQAAhFNIFyif8eX4AQAA6G0uKnZcLlena3K4RgcAAPRmF3XNjjFGd999d+CPfba0tOi+++7r9G6sF198MXwTAgAAdMFFxc78+fOD7t95551hHQYAACDcLip2NmzY0F1zAAAAdIsuXaAMAADQ2xE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKs5GjtFRUX6xje+obi4OCUmJurWW29VZWVl0GNaWlqUn5+vYcOGaciQIcrNzVVdXZ1DEwMAgL7G0dgpKytTfn6+du/ere3bt6utrU3Tpk1Tc3Nz4DGLFy/Wli1bVFJSorKyMlVXV2v27NkOTg0AAPqSi/rbWOG2bdu2oPvFxcVKTExURUWFbrzxRjU0NGj9+vXauHGjpkyZIumLv891xRVXaPfu3bruuuucGBsAAPQhveqanYaGBklSQkKCJKmiokJtbW3Kzs4OPGbcuHFKT09XeXn5WY/h9/vl8/mCbgAAoP/qNbHT0dGhBx98UNdff70mTJggSaqtrVV0dLTi4+ODHpuUlKTa2tqzHqeoqEgejydwS0tL6+7RAQBAL9ZrYic/P18ffvihNm3a1KXjFBYWqqGhIXA7evRomCYEAAB9kaPX7JyxcOFCvfLKK3rjjTc0cuTIwPbk5GS1traqvr4+6OxOXV2dkpOTz3qsmJgYxcTEdPfIAACgj3D0zI4xRgsXLtTmzZu1Y8cOZWRkBO3PzMxUVFSUSktLA9sqKytVVVUlr9fb0+MCAIA+yNEzO/n5+dq4caNefvllxcXFBa7D8Xg8io2NlcfjUV5engoKCpSQkCC3260HHnhAXq+Xd2IBAIAL4mjsrF27VpL0rW99K2j7hg0bdPfdd0uSHnvsMUVERCg3N1d+v185OTlas2ZND08KAAD6KkdjxxjzlY8ZOHCgVq9erdWrV/fARAAAwDa95t1YAAAA3YHYAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGC1SKcHAC7E6KWvOj3CRft0+UynRwAAiDM7AADAcsQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArOZo7Lzxxhu65ZZblJqaKpfLpZdeeilovzFGDz/8sFJSUhQbG6vs7GwdPHjQmWEBAECf5GjsNDc3a9KkSVq9evVZ969YsUJPPvmk1q1bpz179mjw4MHKyclRS0tLD08KAAD6qkgnP/mMGTM0Y8aMs+4zxujxxx/XT37yE82aNUuS9MwzzygpKUkvvfSSbr/99p4cFQAA9FG99pqdI0eOqLa2VtnZ2YFtHo9HWVlZKi8vP+fH+f1++Xy+oBsAAOi/em3s1NbWSpKSkpKCticlJQX2nU1RUZE8Hk/glpaW1q1zAgCA3q3Xxk6oCgsL1dDQELgdPXrU6ZEAAICDem3sJCcnS5Lq6uqCttfV1QX2nU1MTIzcbnfQDQAA9F+9NnYyMjKUnJys0tLSwDafz6c9e/bI6/U6OBkAAOhLHH03VlNTkw4dOhS4f+TIEe3fv18JCQlKT0/Xgw8+qF/+8pcaM2aMMjIy9NOf/lSpqam69dZbnRsaAAD0KY7Gzt69e3XTTTcF7hcUFEiS5s+fr+LiYv3gBz9Qc3Oz7r33XtXX12vy5Mnatm2bBg4c6NTIAACgj3EZY4zTQ3Qnn88nj8ejhoaGsF+/M3rpq2E9Huzy6fKZTo8AAH1WOL9/99prdgAAAMKB2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNWIHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFaLdHoAwFajl77q9Aj9wqfLZzo9AoBejjM7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKxG7AAAAKsROwAAwGrEDgAAsBqxAwAArEbsAAAAqxE7AADAasQOAACwGrEDAACsRuwAAACrETsAAMBqxA4AALAasQMAAKwW6fQAANDfjF76qtMjXLRPl890egQgZJzZAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDVeOs5gD6tL76NGziXvvh67gu/loAzOwAAwGp9InZWr16t0aNHa+DAgcrKytI777zj9EgAAKCP6PWx8/zzz6ugoEDLli3Te++9p0mTJiknJ0fHjx93ejQAANAH9PrYWbVqle655x4tWLBA48eP17p16zRo0CA99dRTTo8GAAD6gF59gXJra6sqKipUWFgY2BYREaHs7GyVl5ef9WP8fr/8fn/gfkNDgyTJ5/OFfb4O/6mwHxMAeqPu+G8oOuuL31e667Vx5rjGmC4fq1fHzt///ne1t7crKSkpaHtSUpI+/vjjs35MUVGRHnnkkU7b09LSumVGAOgPPI87PQF6q+5+bTQ2Nsrj8XTpGL06dkJRWFiogoKCwP2Ojg6dPHlSw4YNk8vlcnCynuPz+ZSWlqajR4/K7XY7PU6vw/qcG2tzfqzP+bE+58banN/Z1scYo8bGRqWmpnb5+L06doYPH64BAwaorq4uaHtdXZ2Sk5PP+jExMTGKiYkJ2hYfH99dI/ZqbrebL6rzYH3OjbU5P9bn/Fifc2Ntzu/L69PVMzpn9OoLlKOjo5WZmanS0tLAto6ODpWWlsrr9To4GQAA6Ct69ZkdSSooKND8+fN1zTXX6Nprr9Xjjz+u5uZmLViwwOnRAABAH9DrY2fOnDn6/PPP9fDDD6u2tlZf+9rXtG3btk4XLeP/i4mJ0bJlyzr9OA9fYH3OjbU5P9bn/Fifc2Ntzq+718dlwvGeLgAAgF6qV1+zAwAA0FXEDgAAsBqxAwAArEbsAAAAqxE7Flq9erVGjx6tgQMHKisrS++8847TI/W4n/3sZ3K5XEG3cePGBfa3tLQoPz9fw4YN05AhQ5Sbm9vpl1fa5I033tAtt9yi1NRUuVwuvfTSS0H7jTF6+OGHlZKSotjYWGVnZ+vgwYNBjzl58qTmzZsnt9ut+Ph45eXlqampqQefRff4qrW5++67O72Wpk+fHvQYW9dG+uJP8HzjG99QXFycEhMTdeutt6qysjLoMRfy9VRVVaWZM2dq0KBBSkxM1Pe//32dPn26J59K2F3I2nzrW9/q9Pq57777gh5j49pI0tq1azVx4sTALwr0er3aunVrYH9Pvm6IHcs8//zzKigo0LJly/Tee+9p0qRJysnJ0fHjx50ercddeeWVqqmpCdzefPPNwL7Fixdry5YtKikpUVlZmaqrqzV79mwHp+1ezc3NmjRpklavXn3W/StWrNCTTz6pdevWac+ePRo8eLBycnLU0tISeMy8efP00Ucfafv27XrllVf0xhtv6N577+2pp9BtvmptJGn69OlBr6XnnnsuaL+tayNJZWVlys/P1+7du7V9+3a1tbVp2rRpam5uDjzmq76e2tvbNXPmTLW2turtt9/W008/reLiYj388MNOPKWwuZC1kaR77rkn6PWzYsWKwD5b10aSRo4cqeXLl6uiokJ79+7VlClTNGvWLH300UeSevh1Y2CVa6+91uTn5wfut7e3m9TUVFNUVOTgVD1v2bJlZtKkSWfdV19fb6KiokxJSUlg21/+8hcjyZSXl/fQhM6RZDZv3hy439HRYZKTk83KlSsD2+rr601MTIx57rnnjDHG/PnPfzaSzLvvvht4zNatW43L5TJ/+9vfemz27vbltTHGmPnz55tZs2ad82P6y9qccfz4cSPJlJWVGWMu7Ovpf/7nf0xERISpra0NPGbt2rXG7XYbv9/fs0+gG315bYwx5pvf/KZZtGjROT+mv6zNGUOHDjX/9V//1eOvG87sWKS1tVUVFRXKzs4ObIuIiFB2drbKy8sdnMwZBw8eVGpqqi655BLNmzdPVVVVkqSKigq1tbUFrdO4ceOUnp7eL9fpyJEjqq2tDVoPj8ejrKyswHqUl5crPj5e11xzTeAx2dnZioiI0J49e3p85p62a9cuJSYmauzYsbr//vt14sSJwL7+tjYNDQ2SpISEBEkX9vVUXl6uq666KuiXwebk5Mjn8wX+L98GX16bM5599lkNHz5cEyZMUGFhoU6dOhXY11/Wpr29XZs2bVJzc7O8Xm+Pv256/W9QxoX7+9//rvb29k6/XTopKUkff/yxQ1M5IysrS8XFxRo7dqxqamr0yCOP6IYbbtCHH36o2tpaRUdHd/oDsUlJSaqtrXVmYAedec5ne92c2VdbW6vExMSg/ZGRkUpISLB+zaZPn67Zs2crIyNDhw8f1o9+9CPNmDFD5eXlGjBgQL9am46ODj344IO6/vrrNWHCBEm6oK+n2tras76+zuyzwdnWRpLuuOMOjRo1SqmpqTpw4IB++MMfqrKyUi+++KIk+9fmgw8+kNfrVUtLi4YMGaLNmzdr/Pjx2r9/f4++bogdWGnGjBmBf0+cOFFZWVkaNWqUXnjhBcXGxjo4Gfqa22+/PfDvq666ShMnTtSll16qXbt2aerUqQ5O1vPy8/P14YcfBl3/hi+ca23+9dqtq666SikpKZo6daoOHz6sSy+9tKfH7HFjx47V/v371dDQoD/84Q+aP3++ysrKenwOfoxlkeHDh2vAgAGdrmavq6tTcnKyQ1P1DvHx8br88st16NAhJScnq7W1VfX19UGP6a/rdOY5n+91k5yc3Oki99OnT+vkyZP9bs0uueQSDR8+XIcOHZLUf9Zm4cKFeuWVV7Rz506NHDkysP1Cvp6Sk5PP+vo6s6+vO9fanE1WVpYkBb1+bF6b6OhoXXbZZcrMzFRRUZEmTZqkJ554osdfN8SORaKjo5WZmanS0tLAto6ODpWWlsrr9To4mfOampp0+PBhpaSkKDMzU1FRUUHrVFlZqaqqqn65ThkZGUpOTg5aD5/Ppz179gTWw+v1qr6+XhUVFYHH7NixQx0dHYH/ePcXx44d04kTJ5SSkiLJ/rUxxmjhwoXavHmzduzYoYyMjKD9F/L15PV69cEHHwRF4fbt2+V2uzV+/PieeSLd4KvW5mz2798vSUGvHxvX5lw6Ojrk9/t7/nUTjqur0Xts2rTJxMTEmOLiYvPnP//Z3HvvvSY+Pj7oavb+4KGHHjK7du0yR44cMW+99ZbJzs42w4cPN8ePHzfGGHPfffeZ9PR0s2PHDrN3717j9XqN1+t1eOru09jYaPbt22f27dtnJJlVq1aZffv2mc8++8wYY8zy5ctNfHy8efnll82BAwfMrFmzTEZGhvnnP/8ZOMb06dPN17/+dbNnzx7z5ptvmjFjxpi5c+c69ZTC5nxr09jYaJYsWWLKy8vNkSNHzOuvv26uvvpqM2bMGNPS0hI4hq1rY4wx999/v/F4PGbXrl2mpqYmcDt16lTgMV/19XT69GkzYcIEM23aNLN//36zbds2M2LECFNYWOjEUwqbr1qbQ4cOmZ///Odm79695siRI+bll182l1xyibnxxhsDx7B1bYwxZunSpaasrMwcOXLEHDhwwCxdutS4XC7zpz/9yRjTs68bYsdCv/nNb0x6erqJjo421157rdm9e7fTI/W4OXPmmJSUFBMdHW3+7d/+zcyZM8ccOnQosP+f//yn+d73vmeGDh1qBg0aZG677TZTU1Pj4MTda+fOnUZSp9v8+fONMV+8/fynP/2pSUpKMjExMWbq1KmmsrIy6BgnTpwwc+fONUOGDDFut9ssWLDANDY2OvBswut8a3Pq1Ckzbdo0M2LECBMVFWVGjRpl7rnnnk7/82Dr2hhjzro2ksyGDRsCj7mQr6dPP/3UzJgxw8TGxprhw4ebhx56yLS1tfXwswmvr1qbqqoqc+ONN5qEhAQTExNjLrvsMvP973/fNDQ0BB3HxrUxxpjvfve7ZtSoUSY6OtqMGDHCTJ06NRA6xvTs68ZljDEXdy4IAACg7+CaHQAAYDViBwAAWI3YAQAAViN2AACA1YgdAABgNWIHAABYjdgBAABWI3YAAIDViB0AAGA1YgcAAFiN2AEAAFYjdgAAgNX+D7NznMS3xR63AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    df\n",
    "    .loc[\n",
    "        df['state'].isin(['Texas', 'Michigan']), \n",
    "        ['city','growth_from_2000_to_2013']]\n",
    "    .set_index('city')\n",
    "    ['growth_from_2000_to_2013'].str.rstrip('%')\n",
    "    .astype(np.float16)\n",
    "    .plot.hist()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Beyond 2\n",
    "\n",
    "Create a histogram of the growth rates among cities in both Texas and California."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    df.loc[\n",
    "        df['state'].isin(['Texas', 'California']), \n",
    "        ['city','growth_from_2000_to_2013']]\n",
    "    .set_index('city')\n",
    "    ['growth_from_2000_to_2013'].str.rstrip('%')\n",
    "    .replace('', np.NaN)\n",
    "    .dropna()\n",
    "    .astype(np.float16)\n",
    "    .plot.hist()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Beyond 3\n",
    "\n",
    "Create a bar plot from the average growth per state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='state'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(\n",
    "    df[['state','growth_from_2000_to_2013']]\n",
    "    .set_index('state')\n",
    "    ['growth_from_2000_to_2013'].str.rstrip('%').replace('', np.NaN)\n",
    "    .dropna()\n",
    "    .astype(np.float16)\n",
    "    .reset_index()\n",
    "    .groupby('state').mean()\n",
    "    .sort_values(by='growth_from_2000_to_2013')\n",
    "    .plot.bar(figsize=(12,12))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
